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Job Description & How to Apply Below
YoE-3+ years of experience.
The requirement is PhD or Master's with publications, with specific sub-domain coverage across each STEM area as below:
* Molecular Biology — 6
* Biochemistry — 6
* Genetics — 6
* Physiology — 5–6
* Ecology — 5–6
* Cell Biology — 6
Commitment Required
Full-time (8 hours/day) 40 hours per week with overlap 4 hours with PST
Role Overview
We are seeking an AI Training Specialist (Biology) to design advanced Biology problems for training and evaluating state-of-the-art AI models. The role focuses on converting complex, often diagram-based biological concepts into precise, text-only, solvable problems.
Main Responsibilities
Design and curate upper-undergraduate and graduate-level Biology problems with clear, fully worked solutions.
Create challenging, realistic tasks that expose failure modes in frontier AI systems.
Convert diagram-heavy or multi-part biology questions into self-contained, text-only problems with definitive answers.
Write rigorous explanations and verify scientific accuracy throughout the problem and solution.
Evaluate AI-generated responses, diagnose errors, and refine questions to meet difficulty targets.
Review Biology tasks created by others and improve clarity, correctness, and realism.
Collaborate with cross-functional teams to maintain consistent standards across large task batches.
Required Qualifications
Master's degree or PhD in Biology or a closely related field.
Strong upper-undergraduate or higher-level Biology background.
Fluent written English with the ability to write precise scientific explanations.
Experience with teaching, grading, exam creation, or research-based analytical work.
High attention to detail and consistency in terminology and reasoning.
Interest in AI model evaluation and how training data affects model behavior.
Biology Domain Expertise
Molecular Biology
Cell Biology
Genetics & Genomics
Biochemistry
Physiology
Ecology or Systems Biology
Ability to translate pathways, gene regulation, and experimental setups into text-only formats
Experience with quantitative or semi-quantitative biology (e.g., enzyme kinetics, growth rates, genetic probabilities)
Nice-to-Have
Prior experience creating AI training or educational content
Familiarity with LLM evaluation pipelines and difficulty calibration
If Intrested. Please submit your CV to [HIDDEN TEXT] or share it via Whats App at
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